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  <titleInfo>
    <title>Quantitative methods for business, management, and finance</title>
    <subTitle>Louise Swift and Sally Piff</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Swift, Louise</namePart>
    <namePart type="date">1959-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Piff, Sally</namePart>
    <namePart type="date">1960-</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Houndmills, Basingstoke, Hampshire</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Palgrave Macmillan</publisher>
    <dateIssued>2005</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvii, 882 : ill. ; 25 cm.</extent>
  </physicalDescription>
  <abstract>Quantitative Methods for Business, Management and Finance,  4e is a comprehensive, easy-to-follow guide to the subject,  painlessly leading you from fundamental principles to more  advanced applications. </abstract>
  <tableOfContents>PART I: ESSENTIAL MATHS.- 1. Numbers and Symbols.- 2.  Simplifying Expressions.- 3. Solving Problems.- 4.  Modelling Using Straight Lines.- PART II: MORE MATHS.- 5.  Some Special Equations.- 6. Modelling Using Curves.- 7.  Rates of Change.- PART III: DESCRIBING DATA.- 8. Pictures  of Data.- 9. Summarising Data.- PART IV: PROBABILITY.-  10. Measuring Uncertainty.- 11. Numerical Outcomes.- 12.  Continuous Numerical Outcomes.- 13. Some More Probability  Distributions.- PART V: STATISTICS.- 14. Estimation.- 15.  Testing Hypotheses.- 16. Correlation and Regression.- 17.  Comparing Two Populations.- 18. Nonparametric methods.-  19. Categorical Data.- 20. Forecasting.- 21. Statistics  in Practice.- PART VI: BUSINESS MODELLING.- 22. Linear  Programming Models.- 23. Planning Projects.- 24. Models  for Inventory Control.- 25. Time and Money.- 26. Decision  Making.- 27. Simulating Reality.- 28. Controlling  Quality.- PART VII: STATISTICAL TABLES.- 29. Cumulative  Binomial Probabilities.- 30. Cumulative Standard Normal  Probabilities.- 31. Percentage Points of the Standard  Normal Distribution.- 32. Random Digits.- 33. Percentage  Points of the t Distribution.- 34. Percentage Points of  the x2 Distribution.   </tableOfContents>
  <note>Includes bibliographical references (p. [xv]-xvii) and index.</note>
  <subject authority="lcsh">
    <topic>Commercial statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Industrial management</topic>
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="ddc" edition="22">658/.001/5195</classification>
  <identifier type="isbn">1403935289</identifier>
  <identifier type="lccn">2004065062</identifier>
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    <recordChangeDate encoding="iso8601">20181127183639.0</recordChangeDate>
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